The adjusted $R^2$ is not shown when a regression with robust standard errors is calculated in Stata. This is surprising to me since the value of the $R^2$ is unaffected in regressions with robust standard errors.

Is there any statistical reason for not quoting the adjusted $R^2$ when using robust standard errors in regression?

The adjusted $R^2$ is not shown when a regression with robust standard errors is calculated in Stata. This is surprising to me since the value of the $R^2$ is unaffected in regressions with robust standard errors.

Is there any statistical reason for not quoting the adjusted $R^2$ when using robust standard errors in regression?

Furthemore if I add more variables the F test disappears.(e.g. with 9 variables it shows but not with 13), Is this for the same reason? How can we report such results and deal with this issue?

The adjusted $R^2$ is not show when a regression with robust standard errors are calculated in Stata. This is surprising since the value of the $R^2$ is unaffected in regressions with robust standard errors.

Is there any statistical reason for not quoting the adjusted $R^2$ when using robust standard errors in regression?

The adjusted $R^2$ is not shown when a regression with robust standard errors is calculated in Stata. This is surprising to me since the value of the $R^2$ is unaffected in regressions with robust standard errors.

Is there any statistical reason for not quoting the adjusted $R^2$ when using robust standard errors in regression?